Triple

T9577130
Position Surface form Disambiguated ID Type / Status
Subject Kanwar Yatra E231072 entity
Predicate majorState P20281 FINISHED
Object Haryana E13284 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haryana | Statement: [Kanwar Yatra, majorState, Haryana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haryana
Context triple: [Kanwar Yatra, majorState, Haryana]
  • A. Haryana chosen
    Haryana is a northern Indian state known for its significant agricultural output, rapid industrial growth, and proximity to the national capital, New Delhi.
  • B. Haryanvi
    Haryanvi is an Indo-Aryan language and dialect of Hindi spoken primarily in the Indian state of Haryana and surrounding regions, known for its distinct phonology, vocabulary, and rustic cultural associations.
  • C. Punjab
    Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
  • D. Himachal Pradesh
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • E. Uttar Pradesh
    Uttar Pradesh is a populous northern Indian state known for its political influence, rich cultural and religious heritage, and historic cities such as Varanasi and Agra.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189ef34c48190974a1a4ca6943a87 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:05 p.m.